Mastering Vertex AI Agent Builder Essentials

Building Scalable AI-Driven Search and Chat Applications

Duration

1 Day (8 hours)

Level

Basic Level

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This course offers an in-depth exploration of Vertex AI Agent Builder, a powerful tool for developing and deploying advanced AI applications. Participants will gain hands-on experience with Google’s cutting-edge foundation models, focusing on the creation of search engines and chat applications tailored for enterprise environments. By the end of the course, attendees will be equipped with the knowledge to manage these AI tools effectively in production, ensuring they meet the highest standards of performance and security. The course will cover essential aspects of Vertex AI, from data preparation to integration and deployment, enabling participants to build robust and scalable AI solutions.

Outcomes:

Upon completing this course, participants will:

Be proficient in using Vertex AI Agent Builder for creating enterprise-grade Generative AI applications
Develop and integrate custom search engines and chat applications using Vertex AI
Manage production environments efficiently, with a strong understanding of security, data management, and monitoring

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Application developers looking to expand their skills in AI and machine learning
IT professionals interested in leveraging generative AI for application development
Individuals aiming to build scalable, AI-driven search engines and chat applications using Google Cloud technologies

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Foundations of Vertex AI and Agent Builder

Overview of Vertex AI and Core Capabilities
Introduction to Vertex AI Agent Builder
Understanding and Utilizing Foundation Models in Vertex AI
Demo: Setting Up the Environment: Tools, Frameworks, and Resources
Hands-On Lab: Initial Setup and Exploration

Data Preparation and Model Development

Data Collection, Cleaning, and Preparation for AI Applications
Techniques for Effective Data Labeling and Annotation
Developing Custom Search Engines with Vertex AI
Creating Conversational AI: Building Chat Applications with Vertex AI
Hands-On Lab: Data Preparation and Initial Model Development

Advanced AI Application Development

Integrating Machine Learning Models with Business Logic
Fine-Tuning and Optimizing Foundation Models for Specific Use Cases
Implementing NLP Techniques in Chat Applications
Advanced Features of Vertex AI Agent Builder
Hands-On Lab: Building and Enhancing AI Applications

Deployment and Integration of AI Solutions

Strategies for Seamless Integration with Enterprise Systems
Deployment Techniques for Scalable AI Solutions
Ensuring Compliance and Security in AI Deployments
Hands-On Lab: Deploying and Integrating AI-Apps in Production

Production Management and Scaling

Managing Production Environments: Security, Data Management, and Monitoring
Best Practices for Scaling AI Applications in Enterprise Settings
Continuous Monitoring and Performance Optimization
Final Project: End-to-End Development, Deployment, and Management of an AI Application

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Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent experience with Google Cloud

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